Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks

verfasst von

Daniel Laidig, Sebastian Trimpe, Thomas Seel

Abstract

We examine the usefulness of event-based sampling approaches for reducing communication in inertial-sensor-based analysis of human motion. To this end we consider realtime measurement of the knee joint angle during walking, employing a recently developed sensor fusion algorithm. We simulate the effects of different event-based sampling methods on a large set of experimental data with ground truth obtained from an external motion capture system. This results in a reduced wireless communication load at the cost of a slightly increased error in the calculated angles. The proposed methods are compared in terms of best balance of these two aspects. We show that the transmitted data can be reduced by 66% while maintaining the same level of accuracy.

Organisationseinheit(en)

Institut für Mechatronische Systeme

Typ

Artikel

Journal

Current Directions in Biomedical Engineering

Band

2

Seiten

711-714

Anzahl der Seiten

4

Publikationsdatum

09.2016

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Biomedizintechnik

Elektronische Version(en)

https://doi.org/10.1515/cdbme-2016-0154 (Zugang: Offen)